Item #:
184481678
Python for Data Science: A Hands-On Introduction
86% of respondents would recommend this to a friend
Item #:
184481678
€ 49
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What Stands Out
Hands-On Learning
This book emphasizes practical experience, allowing readers to apply Python concepts directly to real data science problems, enhancing comprehension and retention.
Comprehensive Coverage
It covers a wide range of data science topics, including data manipulation, visualization, and machine learning, making it a well-rounded resource for beginners and intermediates alike.
User-Friendly Approach
Designed for readers with varying skill levels, it simplifies complex concepts with clear explanations and examples, ensuring accessibility for anyone looking to delve into data science.
Product Details
| Yayu0131ncu0131 | No Starch Press |
| Yayu0131nlanma Tarihi | 2 Au011fustos 2022 |
| Basku0131 | 1. |
| Dil | u0130ngilizce |
| Basku0131 Uzunluu011fu | 240 sayfa |
| ISBN-10 | 1718502206 |
| ISBN-13 | 978-1718502208 |
| Boyutlar | 17.9 x 1.8 x 23.5 cm |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals new to programming who want to learn Python in a practical, hands-on manner.
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Data Science Enthusiasts
Perfect for those interested in data science concepts and wishing to apply Python to data analysis tasks.
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Students in STEM
Great for students pursuing STEM fields, providing foundational knowledge in Python for future coursework.
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Advanced Developers
Not suitable for seasoned programmers looking for advanced Python techniques or specialized data science methods.
Product Description
Python for Data Science: A Hands-On Introduction
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İngilizce Baskı Yuli Vasiliev Format: Kağıt Kapak Editorial Review
Python for Data Science: A Hands-On Introduction is a comprehensive guide published by No Starch Press that was released on August 2, 2022. Spanning 240 pages, this book is written in English and aims to provide practical knowledge for effectively utilizing Python in data science applications. With a focus on hands-on learning, readers can expect to engage with practical examples that enhance their understanding of the subject. This book is suitable for beginners who wish to dive into data science as it takes a straightforward approach, making complex concepts accessible and manageable.
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Pros
- Hands-on approach enhances practical learning
- Suitable for beginners in data science
- Comprehensive coverage of Python basics
- Published by a reputable publisher
- Clear examples simplify complex concepts
Cons
- No advanced topics covered for experienced users
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